In [1]:
!pip install chart_studio
!pip install raceplotly

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In [9]:
import pandas as pd
import cufflinks as cf
cf.set_config_file(sharing='public',theme='white',offline=True) # write cf.getThemes() to find all themes available
In [3]:
df = pd.read_csv('peliculas.csv')
In [4]:
from raceplotly.plots import barplot
my_raceplot = barplot(df,  item_column='Genre', value_column='Top Movie Gross (That Year)', time_column='Year')
my_raceplot.plot(title='Generos de peliculas 1995 - 2018 por ingreso de mejor pelicula', item_label = 'Top generos peliculas ', value_label = 'ingresos anuales', time_label = 'Fecha: ', frame_duration = 3000)
In [10]:
import plotly.offline as pyo
pyo.init_notebook_mode(connected=True)

df_plot = df[['Year','Gross','Genre']]

df_plot = df_plot.pivot(index='Year', columns='Genre',
                                    values='Gross')

df_plot.iplot(kind='line', xTitle='Years', yTitle='Ingresos',
                    title='ibgresos totales de peliculas (1995-2018)')
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